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Morita"},"license":"MIT","homepage":"https://github.com/knorq-ai/agent-format/tree/main/packages/mcp","keywords":["mcp","mcp-apps","agent-format","dashboard","visualization","llm"],"repository":{"type":"git","url":"git+https://github.com/knorq-ai/agent-format.git","directory":"packages/mcp"},"description":"MCP Apps server that renders .agent files as interactive dashboards inline in Claude / ChatGPT / Cursor / VS Code Copilot.","maintainers":[{"name":"knorq","email":"info@knorq.com"}],"readme":"# @agent-format/mcp\n\n[MCP Apps](https://github.com/modelcontextprotocol/ext-apps) server that renders [`.agent`](https://github.com/knorq-ai/agent-format) files as interactive dashboards **inline in the chat** of any MCP Apps–supporting client.\n\n> Status: **Draft v0.1** — targets MCP Apps spec `2026-01-26`.\n\n## What it does\n\nWhen connected to Claude Desktop, ChatGPT (via Apps SDK), Cursor, VS Code Copilot, or Goose, this server exposes two tools:\n\n- **`render_agent_file(path)`** — reads an `.agent` file from disk and renders it inline as a kanban / timeline / metrics / log / mindmap / etc. dashboard.\n- **`render_agent_inline(data)`** — renders a full `.agent` JSON object that the agent just generated in this turn.\n\nThe rendered UI is the standard `.agent` viewer ([knorq-ai.github.io/agent-format](https://knorq-ai.github.io/agent-format/)) embedded in the chat. All 12 section types work.\n\n## Install\n\n```bash\nnpm install -g @agent-format/mcp\n```\n\nOr run without installing:\n\n```bash\nnpx @agent-format/mcp\n```\n\n## Configure your client\n\n### Claude Desktop\n\nEdit `~/Library/Application Support/Claude/claude_desktop_config.json` (macOS) or the equivalent on Windows:\n\n```json\n{\n  \"mcpServers\": {\n    \"agent-format\": {\n      \"command\": \"npx\",\n      \"args\": [\"-y\", \"@agent-format/mcp\"]\n    }\n  }\n}\n```\n\nRestart Claude Desktop. The first time a tool runs, Claude will ask for permission.\n\n### Cursor\n\nEdit `~/.cursor/mcp.json`:\n\n```json\n{\n  \"mcpServers\": {\n    \"agent-format\": {\n      \"command\": \"npx\",\n      \"args\": [\"-y\", \"@agent-format/mcp\"]\n    }\n  }\n}\n```\n\n### VS Code Copilot Chat\n\nAdd to `settings.json`:\n\n```json\n{\n  \"mcp.servers\": {\n    \"agent-format\": {\n      \"command\": \"npx\",\n      \"args\": [\"-y\", \"@agent-format/mcp\"]\n    }\n  }\n}\n```\n\n### ChatGPT (Apps SDK)\n\nChatGPT Apps are registered via the developer portal, not a local config file. The stdio pattern above targets desktop clients. For ChatGPT, package this server as an HTTP endpoint — a future release will include that entrypoint.\n\n## Try it\n\nAfter configuring a client and restarting:\n\n> \"Render `/Users/me/project.agent` as a dashboard.\"\n\nClaude calls `render_agent_file`, the viewer opens inline, and you see the kanban / timeline / metrics.\n\nOr inline:\n\n> \"Turn these TODOs into a kanban and render it.\"\n\nClaude generates the `.agent` JSON, calls `render_agent_inline` with it, and the dashboard appears in the chat without touching disk.\n\n## How it works\n\n- The server is a stdio-based MCP server using `@modelcontextprotocol/sdk` and `@modelcontextprotocol/ext-apps`.\n- Tools declare a shared UI resource URI `ui://agent-format/render.html`.\n- The UI resource is a single self-contained HTML document: the `@agent-format/renderer` React bundle and CSS are inlined at build time (see `build-ui.mjs`). No nested iframes, no external fetches, no CSP `frameDomains` required — the default sandbox is sufficient.\n- When the tool result arrives via the MCP Apps `ui/notifications/tool-result` postMessage, the embedded script reads `structuredContent.data` and mounts `<AgentRenderer/>` against it directly.\n\nThis means the visual output is identical to what you'd see on the standalone viewer — same React renderer, same CSS — just embedded in the chat.\n\n## Development\n\n```bash\ncd packages/mcp\nnpm install\nnpm run build\nnode dist/server.js\n```\n\nTo test end-to-end locally, point your client's `command` at your absolute `dist/server.js` path instead of `npx`.\n\n## License\n\nMIT.\n","readmeFilename":"README.md"}